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Proceedings of the AAAI Conference on Artificial Intelligence
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Found 8034 items.
  • Statistical Spatially Inhomogeneous Diffusion Inference

    Yinuo Ren, Yiping Lu, Lexing Ying, Grant M. Rotskoff
    14820-14828
    2024-03-24
  • Score-Based Learning of Graphical Event Models with Background Knowledge Augmentation

    Debarun Bhattacharjya, Tian Gao, Dharmashankar Subramanian, Xiao Shou
    12189-12197
    2023-06-26
  • Automata Cascades: Expressivity and Sample Complexity

    Alessandro Ronca, Nadezda Alexandrovna Knorozova, Giuseppe De Giacomo
    9588-9595
    2023-06-26
  • Causal Explanation Under Indeterminism: A Sampling Approach

    Christopher Merck, Samantha Kleinberg
    2016-02-21
  • An Operator Theoretic Approach for Analyzing Sequence Neural Networks

    Ilan Naiman, Omri Azencot
    9268-9276
    2023-06-26
  • Anytime User Engagement Prediction in Information Cascades for Arbitrary Observation Periods

    Akshay Aravamudan, Xi Zhang, Georgios C. Anagnostopoulos
    4999-5009
    2023-06-26
  • SWL-Adapt: An Unsupervised Domain Adaptation Model with Sample Weight Learning for Cross-User Wearable Human Activity Recognition

    Rong Hu, Ling Chen, Shenghuan Miao, Xing Tang
    6012-6020
    2023-06-26
  • Creating Interpretable Data-Driven Approaches for Remote Health Monitoring

    Alireza Ghods
    15712-15713
    2021-05-18
  • Non-stationary Projection-Free Online Learning with Dynamic and Adaptive Regret Guarantees

    Yibo Wang, Wenhao Yang, Wei Jiang, Shiyin Lu, Bing Wang, Haihong Tang, Yuanyu Wan, Lijun Zhang
    15671-15679
    2024-03-24
  • Outlier-Robust Convex Segmentation

    Itamar Katz, Koby Crammer
    2015-02-21
  • Deep Modeling Complex Couplings within Financial Markets

    Wei Cao, Liang Hu, Longbing Cao
    2015-02-21
  • Learning to Select Prototypical Parts for Interpretable Sequential Data Modeling

    Yifei Zhang, Neng Gao, Cunqing Ma
    6612-6620
    2023-06-26
  • Opposite Online Learning via Sequentially Integrated Stochastic Gradient Descent Estimators

    Wenhai Cui, Xiaoting Ji, Linglong Kong, Xiaodong Yan
    7270-7278
    2023-06-26
  • Harnessing the Power of SVD: An SVA Module for Enhanced Signal Classification

    Lei Zhai, Shuyuan Yang, Yitong Li, Zhixi Feng, Zhihao Chang, Quanwei Gao
    16669-16677
    2024-03-24
  • Self-Supervised Learning for Anomalous Channel Detection in EEG Graphs: Application to Seizure Analysis

    Thi Kieu Khanh Ho, Narges Armanfard
    7866-7874
    2023-06-26
  • Vector Quantized Bayesian Neural Network Inference for Data Streams

    Namuk Park, Taekyu Lee, Songkuk Kim
    9322-9330
    2021-05-18
  • TNPAR: Topological Neural Poisson Auto-Regressive Model for Learning Granger Causal Structure from Event Sequences

    Yuequn Liu, Ruichu Cai, Wei Chen, Jie Qiao, Yuguang Yan, Zijian Li, Keli Zhang, Zhifeng Hao
    20491-20499
    2024-03-24
  • Deep Contextual Clinical Prediction with Reverse Distillation

    Rohan Kodialam, Rebecca Boiarsky, Justin Lim, Aditya Sai, Neil Dixit, David Sontag
    249-258
    2021-05-18
  • Towards Continual Learning Desiderata via HSIC-Bottleneck Orthogonalization and Equiangular Embedding

    Depeng Li, Tianqi Wang, Junwei Chen, Qining Ren, Kenji Kawaguchi, Zhigang Zeng
    13464-13473
    2024-03-24
  • Spatio-Temporal Model for Wildlife Poaching Prediction Evaluated Through a Controlled Field Test in Uganda

    Shahrzad Gholami
    2018-04-29
  • A Diffusion-Based Pre-training Framework for Crystal Property Prediction

    Zixing Song, Ziqiao Meng, Irwin King
    8993-9001
    2024-03-24
  • Generative Planning with 3D-Vision Language Pre-training for End-to-End Autonomous Driving

    Tengpeng Li, Hanli Wang, Xianfei Li, Wenlong Liao, Tao He, Pai Peng
    4950-4958
    2025-04-11
  • Consistency-based Abductive Reasoning over Perceptual Errors of Multiple Pre-trained Models in Novel Environments

    Mario Leiva, Noel Ngu, Joshua Shay Kricheli, Aditya Taparia, Ransalu Senanayake, Paulo Shakarian, Nathaniel D. Bastian, John Corcoran, Gerardo Simari
    19216-19223
    2026-03-14
  • Domain Generalized Medical Landmark Detection via Robust Boundary-Aware Pre-Training

    Haifan Gong, Yu Lu, Xiang Wan, Haofeng Li
    3140-3148
    2025-04-11
  • Attacking Data Transforming Learners at Training Time

    Scott Alfeld, Ara Vartanian, Lucas Newman-Johnson, Benjamin I.P. Rubinstein
    3167-3174
    2019-07-17
951 - 975 of 8034 items << < 34 35 36 37 38 39 40 41 42 43 > >> 

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